Result for 1088E18E7415CDCDFC4B3647A33837CC272B6532

Query result

Key Value
FileName./usr/lib/hpc/gnu7/python-scipy/1.3.3/lib64/python3.6/site-packages/scipy/sparse/linalg/dsolve/SuperLU/License.txt
FileSize1681
MD5665D3A848EC7C94B78AE986BD84E640A
RDS:package_id294806
SHA-11088E18E7415CDCDFC4B3647A33837CC272B6532
SHA-256F0CEDF52503B2D42B83411A0A16E6FEFAC346DFAD8FDDC66F50050150123470C
SHA-512C24D939B817BC3E44AE5A384A1EE3FC5A3EE8F05B84C40A57448B8A1FF55DCC3DDB174066579F790AE05C005ED2D1492CCF066EAA64D34F5D0C16EA00C65217A
SSDEEP48:EWAehCZOdJgJzTAZZH7Pzi432sf32sBEtI33tEHV:EvPMdJgJz8ZFXJ3T3d9u1
TLSHT16B31B65711804FF265F21751617AB784F44DD02C3B23BD01182AF2D82BBB42ED5B7451
insert-timestamp1728987745.6381242
mimetypetext/plain
sourcesnap:KiEjtV3t8X5piqxzFxOfjkH8G32OL5eR_83
tar:gnameroot
tar:unameroot
hashlookup:parent-total453
hashlookup:trust100

Network graph view

Parents (Total: 453)

The searched file hash is included in 453 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
SHA-1000086A5ECF2783A735698738486F8C548D5D39A
snap-authoritycanonical
snap-filename6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap
snap-id6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245
snap-namefreecad
snap-publisher-idnbM3ZPW49wgmlSh0OwD2wYDVLh2iUXth
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2022-05-16T16:01:05.150385Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/6gjU50q0lEDaMTtSUxYoVDSmjR5fERpB_245.snap
Key Value
MD59BDA76481E9FC34CD7A5B3A7615939BC
PackageArchx86_64
PackageDescription SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations. The library is written in C and is callable from either C or Fortran program. It uses MPI, OpenMP and CUDA to support various forms of parallelism. It supports both real and complex datatypes, both single and double precision, and 64-bit integer indexing. The library routines performs an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions. This version uses MPI and OpenMP. This is the mpich version.
PackageMaintainerFedora Project
PackageNamesuperlu_dist-mpich
PackageRelease2.fc32
PackageVersion6.1.1
SHA-10002E8733558ABA49D780FDC896790602D05056E
SHA-2565A8796A31B9DA802DDB837B452E6A4CF15683306949A32C25A7F17E77E694E30
Key Value
MD508EBAB55DF0B9B5E2684131E24C472F7
PackageArchi586
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerphilippem <philippem>
PackageNamepython3-scipy
PackageRelease1.mga7
PackageVersion1.2.2
SHA-100A914488DF2D4C74F8E31502AE6F6C838ADA1CA
SHA-2564C7B0116A1B8162501645CF1609DF05C99E65B9DD69F97AE053FAF417767CCFC
Key Value
MD5602C9B2CC8F88D08198506714BE71030
PackageArchppc64le
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-scipy
PackageRelease21.module_el8.5.0+772+8dae0bfd
PackageVersion1.0.0
SHA-100FDC7C4AED0A70502A7427F5D29752F01911090
SHA-256DD83E0FA243856607D6103E09EC0F7586EF46F53D9DE13F1F75CB919FDA39072
Key Value
SHA-101094331C315996BD9740D19E85E15A36C1C2286
snap-authoritycanonical
snap-filenameXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
snap-idXSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695
snap-nameroot-framework
snap-publisher-idVoUAJzdpg1T1K8hp70EmA7f7dJkxb7BA
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2020-11-27T06:22:05.033990Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_695.snap
Key Value
MD5534EE3476789900D719C9F3BFD8A512F
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many numerical routines such as for numerical integration and optimization.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-scipy
PackageReleasebp153.1.19
PackageVersion1.2.1
SHA-1021F510CB18DDFCB749AA87D2B1E2DC8C6C4CA3B
SHA-256FC143ED989404EC5F354D3AE863513B6F2DDD3B58DEEBA7B821A8B6C104B3444
Key Value
SHA-10265167C71D611D4025F842F2EDE7CBAA0AA8A89
snap-authoritycanonical
snap-filenameEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
snap-idEE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4
snap-nameepitopepredict
snap-publisher-idwKNkmne29sQR93F3D0N6GFAFqfyv9hpz
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2017-09-18T21:52:25.816561Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/EE5GWu02z0YpTc00nobuYaTnsYOWA7ZQ_4.snap
Key Value
MD596EF788C6F99FC0B2093671C4661CC06
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerFedora Project
PackageNamepython3-scipy
PackageRelease1.fc32
PackageVersion1.4.1
SHA-10266CD6B349B3C301BC986964FD04F6F9F5C8741
SHA-256BAEAA8BB9C5FA5D9199D03D84A2326EFA23D0A8F781E4EDB2553DABAAFF9B142
Key Value
MD507DC1DEEFF56BFC1CA04DFE8AF2DE0FF
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many numerical routines such as for numerical integration and optimization.
PackageNamepython3-scipy
PackageRelease2.2
PackageVersion1.5.4
SHA-1027133D445C6E29D16104AEFBF25A4EA8FC77F44
SHA-2569A00FBECDD0AD8D14520F2E0603171EBEF8753EAA396493BD8D9C5F98FEC176D
Key Value
MD50CBE994DBC2458067410A6C5E41BB95B
PackageArchx86_64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython39-scipy
PackageRelease3.module_el8.5.0+738+dc19af12
PackageVersion1.5.4
SHA-1045A72FEBD5C5D265189D1FA19E1F021700EB257
SHA-256D9E2D04FEAC3337D9ADCEB35F617E633B0DF8CA65CA085642487B886AC23EF1F